Re: [Databionic-ESOM-User] features

[<fa...@in...>]

You can certainly feed ordinal or nominal attributes to the tools if you
encode them e.g. as natural numbers. Letters or strings are not allowed
as data entries in *.lrn files.

The question is, whether Euclidean (or any other implemented distance
function) is meaningful on this encoding for your data. Further, the
final prototypes that are assigned to each neuron, will almost surely
not consist of natural numbers, since the udating of the map uses small
vector differences as learning steps. But they could be seen as
approximations to symbolic prototypes.

If you want to use special symbolic distance functions (e.g. Hamming)
you would have to implement them first and I can give you hints on how
to do it. In addition, the update step should be modified accordingly.
Both should be comparatively easy to do.

bye
fabian

mit...@we... wrote:
> May we use not only continuous but also symbolic features with ESOM?
> thank you in advance,
> Katerina
> 
> 
> 
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